11+ Operational efficiency Jobs in Chennai | Operational efficiency Job openings in Chennai

JOB DESCRIPTION/PREFERRED QUALIFICATIONS:

REQUIRED SKILLS/COMPETENCIES:

Programming Languages:

• Strong in Python, data structures, and algorithms.
• Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping.

Machine Learning Frameworks:

• Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM).

Deep Learning Techniques:

• Proficiency with PyTorch or TensorFlow/Keras
• Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms.
• Familiarity with optimization (Adam, SGD), dropout, batch norm.

LLMs & RAG:

• Hugging Face Transformers (tokenizers, embeddings, model fine-tuning).
• Vector databases (Milvus, FAISS, Pinecone, ElasticSearch).
• Prompt engineering, function/tool calling, JSON schema outputs.

Data & Tools:

• SQL fundamentals; exposure to data wrangling and pipelines.
• Git/GitHub, Jupyter, basic Docker.

WHAT ARE WE LOOKING FOR?

• Solid academic foundation with strong applied ML/DL exposure.
• Curiosity to learn cutting-edge AI and willingness to experiment.
• Clear communicator who can explain ML/LLM trade-offs simply.
• Strong problem-solving and ownership mindset.

MINIMUM QUALIFICATIONS:

• Doctorate (Academic) Degree and 2 years related work experience; Master's Level Degree and related work experience of 5 years; Bachelor's Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs.

MUST-HAVES:

• Education/qualification:  Preferably from premier Institute like IIT, IISC, IIIT, NIT and BITS. Also regional tier 1 colleges.

• Doctorate (Academic) Degree and 2 years related work experience; or Master's Level Degree and related work experience of 5 years; or Bachelor's Level Degree and related work experience of 7 years

• Min 5 yrs experience in the Mandatory Skills: Python, Deep Learning, Machine Learning, Algorithm Development and Image Processing

• 3.5 to 4 yrs proficiency with PyTorch or TensorFlow/Keras

• Candidates from engineering product companies have higher chances of getting shortlisted (current company or past experience)

QUESTIONNAIRE: 

Do you have at least 5 years of experience with Python, Deep Learning, Machine Learning, Algorithm Development, and Image Processing? Please mention the skills and years of experience:

Do you have experience with PyTorch or TensorFlow / Keras?

• PyTorch
• TensorFlow / Keras
• Both

How many years of experience do you have with PyTorch or TensorFlow / Keras?

• Less than 3 years
• 3 to 3.5 years
• 3.5 to 4 years
• More than 4 years

Is the candidate willing to relocate to Chennai?

• Ready to relocate
• Based in Chennai

What type of company have you worked for in your career?

• Service-based IT company
• Product company
• Semiconductor company
• Hardware manufacturing company
• None of the above

Manual Tester with Airlines Cargo domain experience

•       Experience: 5–12 Years

•       Locations: Chennai, Bangalore, Trivandrum, Cochin

•       Notice Period: Immediate to <30 days

Skillset and Responsibilities of Agile QA

Skillset:

• Experienced test analyst or consultant with 6-10 years of experience in software testing

• Robust knowledge and prior experience in Airline Cargo domain

• Prior work experience in Agile scrum or SAFe 

• Experience in requirement understanding and user story grooming 

• Ability to understand the functionality of the application under test

• Testing Tools: Microfocus ALM, JIRA, ReadyAPI, Enterprise Architect

• Prior experience in backend service testing with ReadyAPI or Postman, API debugging/root cause analysis

• Working knowledge of microservice architecture and cloud database

• Working knowledge of CI/CD pipeline (GIT etc)

• Working experience in defect management process and tools 

• Working knowledge or experience in automation tools (Cypress, Selenium) will be nice to have

 Responsibilities:

 • Define the functional and technical approach to the implementation of the tests

• Help estimate the scope and size of the testing effort for each user story/product backlog within the PI Planning

• Analyze user stories and design/develop Test Models and Test cases

• Review test model and test cases with BA / Product Owner

• Develop backend test suites in readyAPI for user story testing 

• Identify frontend regression test cases and handover to TA team for automation

• Develop and maintain automated test suites for microservices 

• Execute automated backend regression test suites in pipeline for iterations and PROD releases

• Analyze of test results, defect logging and retest

• Work closely with developers to assess and advise on testability

• Test throughout the sprint

• Work collaboratively and productively with the product owner /Business owner and the customer to form acceptance criteria, Help to define definition of done (DoD)

• Present tested feature within iteration reviews and system demos 

• Attend and actively participate in PI Plannings  

• Participate all sprint planning , pre- and post sprint release ceremonies

• Meet with developers and BAs for short hand-off demonstrations and share the iteration demos with the devs 

• Attend sprint retrospectives and ART retrospectives 

• Help in Determining and advising which tests should be automated at which layer

• Help the developers or the TA team in writing automated tests and analyze the results of the automated tests

Field Sales

Home loan & lap

Sales through open market

Customers for generating business through DSA's and connectors

Position: Logistics Specialist

Experience: 8 - 12 years in logistics and warehouse

Work location: Chennai

• You will be responsible for the inventory management, warehousing and logistics activities associated with the distribution.
• Coordinate end to end Warehouse Operations Inbound, Outbound ,Transportation and 3PL operations
  Drive efficient processes to enhance warehouse operations
• Controls inventory levels by conducting physical counts; reconciling with data storage system
• Experience with SAP order to cash process.(MM&SD Module) Excellent spreadsheet modeling skills required.

• Work independently, good communication and Excel Skills.
• Extensive experience in loading data using SF data loader.
• Expert in SALESFORCE configurations and admin activities
• Integration development experience (REST / SOAP)
• Should be expert in working with flows, process builder, Platform Events and APEX

Roles and Responsibilities

• Review the business requirements
• Prepare solution design
• Develop and test the solution
• Provide technical inputs for project

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.