Engineering Manager

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.

Key Responsibilities

·      Design, develop, and deploy machine learning models for real-world business problems

·      Work on end-to-end ML lifecycle: data preprocessing, model building, evaluation, deployment, and monitoring

·      Implement and manage MLOps pipelines for scalable and reproducible workflows

·      Utilize tools like MLflow for experiment tracking, model versioning, and lifecycle management

·      Develop and integrate Generative AI (GenAI) solutions such as LLM-based applications

·      Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions

·      Optimize model performance and ensure production stability

·      Stay updated with the latest advancements in AI/ML and GenAI ecosystems

Required Skills & Qualifications

·      4+ years of experience in Data Science / Machine Learning

·      Strong programming skills in Python

·      Hands-on experience with ML modeling techniques (supervised, unsupervised, NLP, etc.)

·      Solid understanding of MLOps practices and tools

·      Experience with MLflow or similar model lifecycle tools 

·      Practical experience in Generative AI (GenAI), including working with LLMs

·      Experience with libraries/frameworks like Scikit-learn, TensorFlow, PyTorch

·      Strong understanding of data structures, algorithms, and statistics

·      Experience with cloud platforms (AWS/GCP/Azure) is a plus

Good to Have

·      Experience with LLM fine-tuning, prompt engineering, or RAG pipelines

·      Exposure to Docker, Kubernetes, and CI/CD pipelines

·      Knowledge of data engineering workflows 

Experience: 3-10 Years

Qualification- Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA)

Post-Graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA)

Roles and Responsibilities:

• Must have experience in Microservice architecture with the ability to collaborate effectively with team members and build positive working relationships.
• Design and build and deploy APIs to meet business requirements.
• High level of commitment to business satisfaction and agility.
• Strong work ethic and a passion for the role, with a positive attitude and a willingness to learn.
• Communicate effectively with the tech lead to thoroughly understand the requirements and highlight any blockers immediately.
• Handle programming and software development, including requirement gathering, bug fixing, testing, documenting, and implementation.
• Work in an agile environment to deliver high-quality solutions.
• Understand and implement Security, Logging, Auditing, Policy Management, and Performance Monitoring.
• Familiarity with relational databases (E.g.: Oracle), non-relational databases (E.g.: MongoDB), MSK Kafka, Docker, Kubernetes, and CICD Technologies (Jenkins, GitHub, Maven)

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

SR Accounts Receivable:

1 - Processing accounting receivables and incoming payments in compliance with financial policies and procedures

2 - Performing day to day financial transactions, including verifying, classifying, computing, posting and recording accounts receivables' data

3 - Preparing bills receivable, invoices and bank deposits

4 - Presenting Receivable MIS to the stakeholder’s

5 - Evaluating Receivable MIS & action course for recovery

6 - Clearing B2B Primary/Secondary/Tertiary claims on regular intervals

7 - Approving Invoices of all B2B Customers on regular basis

8 - Reconciling Customer accounts every month

Must haves -

1.Creating MIS

2.Reports

3.Advanced excel

Note : Looking from FMCG companies

REQUIREMENTS: ● 1-2 years in outbound focused sales position desired; customer-oriented background required (sales, support, customer service) in B2B preferably ● Bachelor’s degree in business, marketing, or related field ● Excellent communication and interpersonal skills ● The ability to generate leads independently. ● Willingness to learn and apply the fundamentals of the MEDDIC Sales process approach ● Great to have-Artificial Intelligence, Machine Learning and/or Computer Vision ● Knowledge of the AI industry and emerging technologies

KEY RESPONSIBILITIES: ● Prospecting: As a SDR you will be responsible for identifying and qualifying high potential customers via cold calling, networking, e-mail, as well as utilizing Internet information sources to build and maintain a lead development pipeline. ● Lead Nurturing: You will follow up with qualified leads and build a relationship with them, answering their questions and providing helpful information to move them closer to a buying decision. ● Sales Enablement: You will work closely with the sales team to understand their needs and help them be more effective in closing deals. This can involve creating sales collateral, providing market insights, and organizing training sessions. ● Data Management: You’ll be responsible for keeping accurate and up-to-date records of all their activities and interactions with potential customers. This data is used to inform the sales process and improve overall performance. ● Pipeline Management: You will be managing the pipeline of leads and ensuring that it is always full of high-quality prospects.

Requirement 

Process      : PhonePe Customer Service (Voice)

Shift Timing  : Day Shift

Working Days : 6

Week Off     : one rotational off

 Grad/Undergrad with minimum 1 year exp. into customer service process is mandatory 

Good communication skills required

 Salary : 

Upto 18k

 Rounds of Interview :

HR

Ops Round

V&A

Client Round 

 Note 

Work from office

DOJ - 7th November ber.

Transport Boundaries:

Ghatkopar till Ambernath

Panvel till Chembur

Panvel till Thane