Business Analyst

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Position:  eComm & digital manager (SFCC, SFRA)

Location: Gurgaon

Experience: 9+ year

Qualification: Bachelor’s degree in IT

Key Deliverables (Essential functions & Responsibilities of the Job):

·        Create, Manage & enhance the applications landscape in the areas of eComm & digital function. Work with IT Leader for application in digital & eComm application instances (with dependencies from global demandware/SFCC platform + JV partner) and integrations for the same in India eComm landscape.

·        Establish and maintain IT processes to manage site IT operations, resolve issues and prioritize enhancement requests in support of our eComm strategic direction

·        Ensure that the systems under the responsibilities meet the SLAs and are stable and serves the purpose in minimal costs.

·        Contribute to eComm IT strategy by managing staff; researching and implementing technological strategic solutions in the area of expertise.

·        Identify eComm & digital demands in a timely and comprehensive manner and ensure business

·        requirements are clearly articulated and documented including Change requests, discovery phase for new enhancements.

·        Leverage, recommend and implement solutions & enhancements whenever deemed fit and provide training to relevant teams where necessary.

·        Accountable for project delivery of applications or technology in time & budgets.

·        Manage personnel and outside contractor(s) as required.

·        Where required, to provide leadership, welfare and coaching to your team.

Key Relationships:

·        Internal business customers in eComm & digita.

·        Global IT Vendor, market and global (HQ) colleagues, Local vendor partners

·        Internal staff - direct reports (where applicable)

·        IT vendors, contractors (where applicable)

Knowledge Skills and Abilities:

·        This eComm & digital manager will employ interpersonal and organizational skill sets and must have the ability to work both independently with limited oversight and collaboratively across multiple projects. She/he must be highly motivated and able, with his/her knowledge of our systems, to apply that knowledge within an interdisciplinary environment. This Manager must have facilitative capacities for clear and timely communication to support collaborative enterprises among distinct units.

·        Strong understanding of leading eComm solutions with hands on experience primarily into Salesforce Commerce Cloud with SFRA framework, Process modelling & process management of eComm store operations & other digital areas. Technical & process aspects of eComm store front

·        Proven business process analysis skills - ability to define problems, collect data, establish facts, document findings, draw valid conclusions and propose solutions.

·        Good to have - DC inventory management experience, order management system (Sterling or any other OMS) & various integration aspects of various applications in overall eComm architecture.

·        Knowledge of the application deployment life cycle with strong analytical, systems and structured analysis, and social skills and with the ability to view issues and requirements from a business perspective.

·        Ability to manage and lead effectively in a team environment, coordinating multiple tasks in parallel. Very strong on technical project management & solution architecture skills & ITIL trained.

·        Very strong team skills and experience in waterfall, iterative and agile methodology. Person should be well versed in working in scrum team and trained in cloud tech.

·        This individual must be highly focused and one who can motivate multiple teams to maintain progress toward project milestones while anticipating potential barriers and suggesting creative solutions.

·        Ability to effectively interact with all levels of business via phone, written communication and in person.

·        Management and leadership skills.

Mail updated resume with below details-

Total Experience-

Relevant experience-

Experience in SFCC and SFRA –

Current CTC-

Expected CTC-

Notice period-

Current Location-

Would you be comfortable with job location (Gurgaon) ?

Email: etalenthire[at]gmail[dot]com

Satish: 88O2 74 9743

Google search: Glan management consultancy

Primary Skill

• UI (Vue JS or Angular JS)
• Server Side (Java or Python) & AWS serverless framework.
• Must have hands-on experience on serverless framework.
• Experience on AWS.
• Must have good experience on AWS (Overall knowledge, EC2 Volume, EC2 SecurityGroup, EC2 AMI, Lambda, S3, AWSbackup, CloudWatch, CloudFormation, CloudTrail, IAM, SecretsManager, StepFunction, CostExplorer, KMS, VPC/Subnet)
• Working experience on development/staging/production servers.
• Good testing and verification skills
• Knowledge on SSL certificates and encryption.

Secondary Skill

• Scripting using Python
• Good to have knowledge of identity management.

Soft Skills

• Excellent interpersonal, oral and writing communication skills.
• Strong Analytical and Problem-solving skills.
• Should have skills to understand and analysis customers requirements and expectations.
• Must have experience in interaction with customer
• Work experiences with international cross-culture teams (Good to have)

Role Description

This is a full-time on-site role for a Sales Executive at Sunra Soft Tech Private Limted in Pune. The Sales Executive will be responsible for developing and implementing sales strategies, identifying new business opportunities, building and maintaining client relationships, and achieving sales targets.

Qualifications

Sales and Business Development skills

Excellent communication and negotiation skills

Customer relationship management

Strong problem-solving and decision-making abilities

Experience in the IT industry is a plus

Bachelor's degree in Business Administration or related field

Technical Skills Required – Mandatory:

- Cloud Technologies – AWS OR Bigdata (Basic Level)

- Python (Highly Experience Level)

- Databases – SQL (Highly Experience Level)

- Operating Systems – Unix (Highly Experience Level)

Strong knowledge in writing complex SQL queries and Knowledge of Performance Tuning

Excellent working knowledge of production support role and Strong debug/troubleshooting skills

Provide 24×7 operational support to all production practices on holidays and weekends.

Hands-on experience in production support for data engineering processes, root cause analysis, and identifying opportunities to improve existing processes.

Roles and Responsibilities:

Set up and optimize the existing integration, monitoring and alerting processes.

Working knowledge of ETL/ELT in Hadoop, Spark and MPP databases is required.

Effectively collaborate with the partners (SMEs, DBA, and Business users) to ensure the reliability of the Data systems.