Sr. Machine Learning Engineer

Job Title: Data Engineer

Location: Hyderabad

About us:

Blurgs AI is a deep-tech startup focused on maritime and defence data-intelligence solutions, specialising in multi-modal sensor fusion and data correlation. Our flagship product, Trident, provides advanced domain awareness for maritime, defence, and commercial sectors by integrating data from various sensors like AIS, Radar, SAR, and EO/IR.

At Blurgs AI, we foster a collaborative, innovative, and growth-driven culture. Our team is passionate about solving real-world challenges, and we prioritise an open, inclusive work environment where creativity and problem-solving thrive. We encourage new hires to bring their ideas to the table, offering opportunities for personal growth, skill development, and the chance to work on cutting-edge technology that impacts global defence and maritime operations.

Join us to be part of a team that's shaping the future of technology in a fast-paced, dynamic industry.

Job Summary:

We are looking for a Senior Data Engineer to design, build, and maintain a robust, scalable on-premise data infrastructure. You will focus on real-time and batch data processing using platforms such as Apache Pulsar and Apache Flink, work with NoSQL databases like MongoDB and ClickHouse, and deploy services using containerization technologies like Docker and Kubernetes. This role is ideal for engineers with strong systems knowledge, deep backend data experience, and a passion for building efficient, low-latency data pipelines in a non-cloud, on-prem environment.

Key Responsibilities:

• Data Pipeline & Streaming Development
• Design and implement real-time data pipelines using Apache Pulsar and Apache Flink to support mission-critical systems.
• Develop high-throughput, low-latency data ingestion and processing workflows across streaming and batch workloads.
• Integrate internal systems and external data sources into a unified on-prem data platform.
• Data Storage & Modelling
• Design efficient data models for MongoDB, ClickHouse, and other on-prem databases to support analytical and operational workloads.
• Optimise storage formats, indexing strategies, and partitioning schemes for performance and scalability.
• Infrastructure & Containerization
• Deploy, manage, and monitor containerised data services using Docker and Kubernetes in on-prem environments.
• Performance, Monitoring & Reliability
• Monitor the performance of streaming jobs and database queries; fine-tune for efficiency and reliability.
• Implement robust logging, metrics, and alerting solutions to ensure data system availability and uptime.
• Identify bottlenecks in the pipeline and proactively implement optimisations.

Required Skills & Experience:

• Strong experience in data engineering with a focus on on-premise infrastructure.
• Strong expertise in streaming technologies like Apache Pulsar, Apache Flink, or similar.
• Deep experience with MongoDB, ClickHouse, and other NoSQL or columnar storage databases.
• Proficient in Python, Java, or Scala for data processing and backend development.
• Hands-on experience deploying and managing systems using Docker and Kubernetes.
• Familiarity with Linux-based systems, system tuning, and resource monitoring.

Preferred Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and experience.

Additional Responsibilities for Senior Data Engineers :

For those hired as Senior Data Engineers, the role will come with added responsibilities, including:

• Leadership & Mentorship: Guide and mentor junior engineers, sharing expertise and best practices.
• System Architecture: Lead the design and optimization of complex real-time and batch data pipelines, ensuring scalability and performance.
• Sensor Data Expertise: Focus on building and optimizing sensor-based data pipelines and stateful stream processing for mission-critical applications in domains like maritime and defense.
• End-to-End Ownership: Take responsibility for the performance, reliability, and optimization of data systems.

Compensation:

• Data Engineer CTC: 4 - 8 LPA
• Senior Data Engineer CTC: 12 - 16 LPA

Role: GCP Data Engineer

Notice Period: Immediate Joiners

Experience: 5+ years

Location: Remote

Company: Deqode

About Deqode

At Deqode, we work with next-gen technologies to help businesses solve complex data challenges. Our collaborative teams build reliable, scalable systems that power smarter decisions and real-time analytics.

Key Responsibilities

• Build and maintain scalable, automated data pipelines using Python, PySpark, and SQL.
• Work on cloud-native data infrastructure using Google Cloud Platform (BigQuery, Cloud Storage, Dataflow).
• Implement clean, reusable transformations using DBT and Databricks.
• Design and schedule workflows using Apache Airflow.
• Collaborate with data scientists and analysts to ensure downstream data usability.
• Optimize pipelines and systems for performance and cost-efficiency.
• Follow best software engineering practices: version control, unit testing, code reviews, CI/CD.
• Manage and troubleshoot data workflows in Linux environments.
• Apply data governance and access control via Unity Catalog or similar tools.

Required Skills & Experience

• Strong hands-on experience with PySpark, Spark SQL, and Databricks.
• Solid understanding of GCP services (BigQuery, Cloud Functions, Dataflow, Cloud Storage).
• Proficiency in Python for scripting and automation.
• Expertise in SQL and data modeling.
• Experience with DBT for data transformations.
• Working knowledge of Airflow for workflow orchestration.
• Comfortable with Linux-based systems for deployment and troubleshooting.
• Familiar with Git for version control and collaborative development.
• Understanding of data pipeline optimization, monitoring, and debugging.

🚀 Job Title: E-commerce & Digital Marketing Executive

📍 Location: Chennai

🎯 Age: 25 to 30 years

👨 Gender: Male candidates only

🎓 Education: Bachelor’s / Master’s degree in Marketing, Business, or related field

💼 Experience: 2 to 5 years in digital marketing, preferably in e-commerce or FMCG

Job Description

🔹 Key Responsibilities:

📝 Process purchase orders on e-commerce portals & coordinate with logistics for timely deliveries.

💰 Follow up on payments & quarterly reconciliation of outstanding dues.

📌 List new SKUs, remove obsolete products & optimize inventory management.

🎯 Manage advertising budgets & performance marketing across Amazon, Blinkit, Zepto, Swiggy & Big Basket.

📊 Plan & execute AMS campaigns, optimize bids & analyze performance metrics (ACOS, ROAS, CTR).

🌐 Implement SEO strategies & manage website content for better organic rankings.

📢 Run social media campaigns on Facebook, Instagram, LinkedIn & track engagement.

📈 Monitor e-commerce sales, analyze data & optimize digital marketing strategies.

✅ Requirements:

✔️ Hands-on experience with AMS, Google Ads, Meta Ads & Quick Commerce platforms.

✔️ Strong knowledge of SEO, PPC, analytics & performance marketing.

✔️ Proficiency in Google Analytics, Meta Business Suite & Amazon Seller Central.

💡 If you're ready to drive e-commerce growth, apply now! 🚀

recruit.hrlspl

Job description:

Must have basic knowledge of Software Technologies like PHP, JavaScript, etc.

The ideal candidate will be responsible for planning, coordinating, and implementing projects within the decided-upon budget, timeline, and scope. They will also effectively monitor and present project updates to relevant stakeholders, clients, or project team members.

Responsibilities:

1. Set project timeline

2. Monitor project deliverables

3. Monitor project baseline to ensure activities progressing as planned

4. Monitor project burndown charts

5. Monitor employee's performance with KPI's

6. Update relevant stakeholders or team members on the project progress

7. Coach and support project team members with tasks you assign them

Who we are looking for

· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

· Mentor and coach other team members

· Evaluate the performance of NLP models and ideate on how they can be improved

· Support internal and external NLP-facing APIs

· Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

·       Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioural Skills

· Strong analytical and problem-solving capabilities.

· Proven ability to multi-task and deliver results within tight time frames

· Must have strong verbal and written communication skills

· Strong listening skills and eagerness to learn

· Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

· NLP

· Deep Learning

· Machine Learning

· Python

· Bert

Preferred Requirements

· Experience in Computer Vision is preferred

Role: Data Scientist

Industry Type: Banking

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Job Description

Role: Sr. Inside Sales Specialist

Experience: 4-6 years

Location: Bangalore (Near Whitefield)

Mode: Full Time ( Work from Office)

Must Have: IT sales/App and mobile/uiux design services Experience

The Role:

The ideal candidate will be responsible for finding and identifying leads through a variety of sources. Once leads are identified, this candidate will reach out and meet with the business decision-makers to better understand their business needs and how our product could help them. Responsibilities:

• Must have worked with IT services organizations holding strong experience in Lead generation and Lead qualification

. • Hand-on experience with Lead generation activity through cold calling, email marketing, LinkedIn, Sales navigator and other channels.

• Must know how to generate leads from email marketing tools like Sendx, Mailchimp, zoho, Apollo, Sendinblue, Get response etc.

• Must know how to extract data of company & employees using all the filters in sales navigator like Industry, job title, employee size etc. & extract data using data extraction tools like Apollo, ZoomInfo, Demand base, Skrapp, seamless, dataminer, Lusha etc.

• Hand-on experience with Lead generation activity through Cold Calling, LinkedIn, Sales navigator, other channels & converting leads into sales

• Experience in creating email contents for mass email marketing, planning, and executing services and technologyrelated email campaigns in alignment with business goals. • Experience connecting with top IT executives and Decision makers of the organizations.

• Excellent communication skills

. • Ensure the accuracy of data on the CRM for leads, prospects, and opportunities.

• Achieve monthly, quarterly, and annual sales goals. Don’t Source candidates:

Qualifications/Requirements:

• Bachelor's degree or equivalent experience.

• Prior Sales experience in an IT company.

• Exposure in India/Middle East US/UK market would be a plus.

• Strong written and verbal communication skills.

Company Overview:

GoProtoz is a World-Class Award-winning UI/UX Design company specialized in User Experience (UX) / User Interface (UI) Design for enterprise and consumer digital products and mobile/web/Desktop applications.

We are one of the top 5 UI/UX design companies in India with a team of passionate and creative digital product UI UX designers and developers. Our vision is to enable digital product companies to achieve their business goals with well thought user experience design strategies and eventually make the people life better. Clients include: Renault–Nissan, SONY, ICICI Bank, Emaar, Damac, PayTm Money, Licious, Mahindra Comviva, QuEST Global

Website: https://www.goprotoz.com/

Location: https://goo.gl/maps/XXoRHtHB93y

Divija Y

TA Specialist, GoProtoz Design Pvt. Ltd.

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