Machine Learning Jobs - Mar-2024

Experience (Years): Fresher:0-1 | Fresher-Mid:2-4 | Mid: 5-8
Mid-Senior: 9-11 | Senior: 12+ | Director: 15+

  1. AI-ML Engineer - Fresher (Machine-Learning-Fresher-24035)
  2. ML-Data Scientist - Fresher (Machine-Learning-Fresher-24036)
  3. Senior/ Lead - Machine Learning Engineer/ MLOps (Machine-Learning-240311)
  4. ASIC Design Lead, Machine Learning, Devices and Services (Machine-Learning-240312)
  5. Machine Learning Engineer (Machine-Learning-240313)


Title: AI-ML Engineer - Fresher
Job Code: Machine-Learning-Fresher-24035

Location: Work From Home
Experience: Fresher
Date Posted: 2024-02-26
Valid Through: 2024-03-27
Apply: Job Application Form

Job Description:
Job description:
  • Define, breakdown, and solve business problems across industry verticals using an array of ML techniques to deliver outcomes and support decision-making.
  • Apply statistical, machine learning, deep learning and generative AI techniques to build, maintain and improve AI/ML-based solutions.
  • Execute projects from start to finish, including data collection and pipeline building, modelling and analysis, synthesis and communication of insights and recommendations to cross-functional stakeholders.
Qualifications:
  • B.Tech or Bachelor s degree in mathematics, statistics or computer science or related quantitative field with an experience ranging from 0 to 3 years.
  • Knowledge and understanding of Statistics, Machine Learning, Deep Learning, and Generative AI techniques.
  • Ability to perform Exploratory Data Analysis (EDA) on a given dataset.
  • Programming expertise in Python.
  • Proficient with Google Colab and Jupyter notebook.
  • Knowledge of databases, SQL.
  • Good to have experience on AWS/ Azure or GCP.
  • Strong general and technical communication skills, with an ability to effectively articulate complex financial and mathematical concepts.
  • Creativity and problem-solving skills.
  • Ability to work independently and in a team environment.


Title: ML-Data Scientist - Fresher
Job Code: Machine-Learning-Fresher-24036

Location: Work From Home
Experience: Fresher
Date Posted: 2024-02-26
Valid Through: 2024-03-29
Apply: Job Application Form

Job Description:
Job description:
  • Study and transform data science prototypes.
  • Design machine learning systems.
  • Research and implement appropriate ML/NLP algorithms and tools.
  • Develop machine learning applications according to requirements.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Perform statistical analysis and fine-tuning using test results.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.
  • Keep abreast of developments in the field.
Educational Qualification Experience
  • The candidate should have a Bachelor s Degree.
  • 0-2 years of experience in ML/Data Science.
  • Proven experience as an ML/NLP or similar role.
  • Understanding of data structures, data modeling, and software architecture.
  • Deep knowledge of maths, probability, statistics, and algorithms.
  • Ability to write robust code in Python.
  • Familiarity with machine learning frameworks (like Keras or PyTorch or TensorFlow) and libraries.
  • Excellent communication skills.
  • Ability to work in a team.
  • Outstanding analytical and problem-solving skills.


Title: Senior/ Lead - Machine Learning Engineer/ MLOps
Job Code: Machine-Learning-240311

Location: Hybrid
Experience: Mid-Senior Level
Date Posted: 2024-02-29
Valid Through: 2024-03-27
Apply: Job Application Form

Job Description:
About the role:
  • We are looking for a senior ML Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries.
  • Engage with clients to understand their business context
  • Lead a team of data scientists and engineers to embed AI and analytics into the business decision processes.
  • Perform a role that involves a combination of hands-on contribution and customer engagement.
  • Switch between roles of an Individual Contributor, team member and solution architect as demanded by each project
Desired Skills, Competencies & Experience:

10+ years exp of which 5+ years of relevant data science experience and at least 3 years of software development experience.

Experience in:
  • Devising creative analytical approaches to solve business problems
  • Developing and enhancing algorithms and models to solve business problem
  • Maintaining all models along with development and updating of code and process documentation
  • Designing a solution approach, leading a team to deploy and maintain it in production.
Proficient in:
  • Structured programming language is a must - such as Python, C/C++, Java is mandatory.
  • Cloud concepts and significant hands-on experience with at least one cloud provider. Should be knowledgeable about the pros and cons of the various services and comfortable discussing the tradeoffs with stakeholders.
  • Strong SQL skills.
Good knowledge of:
  • Data science approaches, machine learning algorithms and statistical methods.
  • ETL and Data Engineering pipelines using Spark/PySpark.
  • Workflow orchestration tools like Airflow.
Excellent written and verbal communication skills

B. Tech from Tier-1 college / M.S or M. Tech is preferred

Title: ASIC Design Lead, Machine Learning, Devices and Services
Job Code: Machine-Learning-240312

Location: Hybrid
Experience: Senior Level
Date Posted: 2024-02-26
Valid Through: 2024-03-28
Apply: Job Application Form

Job Description:
Minimum qualifications:
  • Bachelor's degree in Electrical Engineering or equivalent practical experience.
  • 12 years of experience working with computer architecture or memory subsystem architecture.
  • Experience with the design and implementation of digital logic using Chisel, Verilog, or System Verilog.
Preferred qualifications:
  • Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Understanding of computer architecture and memory subsystem architecture.
  • Ability to apply engineering practices (e.g., code review, testing, refactoring) to the design and implementation of ASIC blocks.
Responsibilities
  • Oversee the design and implementation of digital logic using Chisel, Verilog, or SystemVerilog.
  • Manage technical project teams and set technical direction.
  • Engage with Machine Learning, System Architects, and Software teams to define specifications.
  • Engage with Verification and Silicon Validation teams to ensure functionality of the design.


Title: Machine Learning Engineer
Job Code: Machine-Learning-240313

Location: Hybrid
Experience: Mid Level
Date Posted: 2024-02-28
Valid Through: 2024-03-31
Apply: Job Application Form

Job Description:
Basic Qualifications
  • Five+ years experience working in a Big Data Software Development role
  • Experience managing and deploying ML models in real world environments
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
  • Experience working with Python, Scala, Spark or other open-source software with data science libraries
  • Experience in advanced math and statistics
  • Excellent familiarity with command line linux environment
  • Able to understand various data structures and common methods in data transformation
  • Experience deploying machine learning models
  • Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.). Skills:- Machine Learning (ML), Deep Learning and Neural networks


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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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