AI/ML Engineer (Python)

Strong B2B Product Manager profiles

Mandatory (Experience 1) – Must have minimum 3+ years of hands-on Product Management experience in B2B SaaS

Mandatory (Experience 2) – Must have minimum 2 years of prior experience in Software Development or QA (Can be skipped if candidate has product management experience in PureTech company OR in same product line as

Mandatory (Experience 3) – Proven track record of shipping successful products end-to-end, from ideation / conception to launch and post-launch iteration

Mandatory (Location) - Candidate must be from Bengaluru

Mandatory (Company) - B2B SaaS (Highly preference for CommunicationTech)

Mandatory (Note): This is an IC role

Job Description: Data Engineer

Location: Ahmedabad

Experience: 5 to 6 years

Employment Type: Full-Time

We are looking for a highly motivated and experienced Data Engineer to join our  team. As a Data Engineer, you will play a critical role in designing, building, and optimizing data pipelines that ensure the availability, reliability, and performance of our data infrastructure. You will collaborate closely with data scientists, analysts, and cross-functional teams to provide timely and efficient data solutions.

Responsibilities

● Design and optimize data pipelines for various data sources

● Design and implement efficient data storage and retrieval mechanisms

● Develop data modelling solutions and data validation mechanisms

● Troubleshoot data-related issues and recommend process improvements

● Collaborate with data scientists and stakeholders to provide data-driven insights and solutions

● Coach and mentor junior data engineers in the team

Skills Required: 

● Minimum 4 years of experience in data engineering or related field

● Proficient in designing and optimizing data pipelines and data modeling

● Strong programming expertise in Python

● Hands-on experience with big data technologies such as Hadoop, Spark, and Hive

● Extensive experience with cloud data services such as AWS, Azure, and GCP

● Advanced knowledge of database technologies like SQL, NoSQL, and data warehousing

● Knowledge of distributed computing and storage systems

● Familiarity with DevOps practices and power automate and Microsoft Fabric will be an added advantage

● Strong analytical and problem-solving skills with outstanding communication and collaboration abilities

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a Computer related field

A Social Media Marketing job description outlines the responsibilities and qualifications for professionals who manage and enhance a company's online presence through various social media platforms. Here's a breakdown of the key aspects:

Core Responsibilities:

• Strategy Development:
• Creating and implementing social media strategies that align with business goals.
• Identifying target audiences and tailoring content accordingly.
• Staying up-to-date with the latest social media trends and best practices.
• Content Creation and Curation:
• Developing engaging content, including text, images, and videos, for various platforms.
• Managing content calendars and ensuring consistent posting schedules.
• Curating relevant content from external sources to share with the audience.
• Community Management:
• Monitoring social media channels and responding to comments, messages, and inquiries.
• Building and nurturing relationships with followers and influencers.
• Managing online reputation and addressing any negative feedback.
• Analytics and Reporting:
• Tracking and analyzing social media metrics to measure campaign effectiveness.
• Generating reports and providing insights to optimize strategies.
• Using social listening tools to monitor brand mentions and industry trends.
• Advertising and Paid Campaigns:
• Planning and executing paid social media campaigns.
• Managing budgets and optimizing ad performance.
• Analyzing ad metrics and providing recommendations for improvement.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

The candidate (Engineer) will be comfortable with creating an engineering plan for development based on their calculations and any research conducted. They should have experience and be able to utilize strong design skills. The candidate will also have the ability to execute a project based on the criteria outlined. 

Note:

• Should have hands-on core knowledge of Java.
• Must have min 3-5 years of experience.

Kindly do not apply otherwise.

Candidates must also fill out this form to start their processes. -> https://forms.gle/mBUAdg2NfrL6DF479

Looking for 5+ years of experienced Java developers to work on a new-age lending finance company based in Pune. We empower established banks with the lending ecosystem of the future. Backed by HDFC, we are on a mission to grow our current transactional amount of 13 Bn+ to tenfolds in the near future.

Our tech stack is one of the most exciting and ahead of its times where we would be expecting you to get your hands practical on these things.

- Ability to communicate effectively verbally and in writing.

- Mentoring junior developers with code reviews design reviews and unit tests.

- Code Versioning (Git, Bitbucket)

- Java

• Collections

• Multi-threading, Background Scheduling

• Design & Architecture patterns

• Springboot, MVC, API-first philosophy

• Understanding fundamental design principles behind a scalable application

• Work with database versioning concepts using Java.

- Api Gateways - APiCurio, Kong, Open API Concept

- Redis, Kafka, ElasticSearch

- DB - PSQL, Aurora, MongoDB

- Deployment - basic understanding of Docker, Kubernetes, Terraform AWS

- Alerting & Monitoring - grafana, elasticsearch, kibana, fluentd, prometheus

Although the full list of the tech stack is very vast, and we've multiple developers for each part of the stack, we would expect any senior role to understand the basics of other services end of the day, but be fluent in Core Java.